Kay Nieselt
- Health Informatics top 2%
- Genetics top 1%
- Bacterial Genetics and Biotechnology 9
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 33
- Bioinformatics and Genomic Networks 20
- RNA and protein synthesis mechanisms 19
- Gene expression and cancer classification 16
- Molecular Medicine top 5%
- Archeology top 1%
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- Microbial Natural Products and Biosynthesis 10
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- Antimicrobial Resistance in Staphylococcus 9
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- Cell Image Analysis Techniques 8
- Co-authors
- Alexander HerbigJohannes KrauseCynthia M. SharmaAlexander PeltzerPhilipp KhaitovichWolfgang EnardSvante PääboFlorian Heißig
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kay Nieselt
117 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Health Informatics 81
- Genetics 1.3k
- Molecular Biology 2.8k
- Molecular Medicine 144
- Archeology 237
Countries citing papers authored by Kay Nieselt
This map shows the geographic impact of Kay Nieselt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kay Nieselt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Nieselt more than expected).
Fields of papers citing papers by Kay Nieselt
This network shows the impact of papers produced by Kay Nieselt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kay Nieselt. The network helps show where Kay Nieselt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kay Nieselt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 103 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 59 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 2 | |
| 15 | 2019 | 3 | |
| 16 | Ancient Mycobacterium leprae genomes reveal an unexpected diversity of leprosy in medieval Europe | 2018 | 1 |
| 17 | 2017 | 14 | |
| 18 | 2015 | 39 | |
| 19 | ResqMi - a Versatile Algorithm and Software for Resequencing Microarrays. | 2008 | 6 |
| 20 | 2006 | 191 |
About Kay Nieselt
Kay Nieselt is a scholar working on Health Informatics, Biophysics and Molecular Biology, having authored 125 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (33 papers), Bioinformatics and Genomic Networks (20 papers), RNA and protein synthesis mechanisms (19 papers), Gene expression and cancer classification (16 papers), Microbial Natural Products and Biosynthesis (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Genetics and Biotechnology (9 papers) and Cell Image Analysis Techniques (8 papers). The work is most often cited by research in Health Informatics (81 citations), Genetics (1.3k citations) and Molecular Biology (2.8k citations). Kay Nieselt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Herbig, Johannes Krause, Cynthia M. Sharma, Alexander Peltzer, Philipp Khaitovich, Wolfgang Enard, Svante Pääbo, Florian Heißig, Florian Battke and Tom Denyer. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Journal of Bacteriology, PLoS ONE and Cellular Physiology and Biochemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.